Background: In order to enable robots to complete complex tasks, robots are required to
have higher intelligence and adaptability. RVSC (Robot Visual Servo Control) is an organic combination
of machine vision and servo control and is a complex system with strong coupling and nonlinearity,
which improves the performance of robots and provides feasible solutions for solving practical
problems in many fields.
Objective: To review the latest development of RVSC methods and provide references for researchers
in related fields.
Methods: RVSC related patents and literature were analyzed from the aspects of the algorithm, innovation
and application. In addition, the typical RVSC methods are summarized.
Results: This paper analyzes the advantages and disadvantages of various methods in many patents and
literature. Moreover, the typical applications, potential problems and future development directions of
this field is put forward.
Conclusion: RVSC has better performance than traditional control methods. In addition, it can also be
combined with some algorithms or knowledge to improve performance further. But, further improvements
of RVSC are needed in the following areas: the convenience of operation, the optimization of
trajectory planning, the combination of multiple sensors, etc. Furthermore, more patents of the RVSC
also should be invented.